文件列表:

FillEulerLUT.m (2073, 2019-08-02)
Skeleton3D.m (6007, 2019-08-02)
Test_Skeleton3D.m (599, 2019-08-02)
license.txt (1322, 2019-08-02)
p_EulerInv.m (4318, 2019-08-02)
p_is_simple.m (1445, 2019-08-02)
p_oct_label.m (11603, 2019-08-02)
pk_get_nh.m (422, 2019-08-02)
pk_get_nh_idx.m (382, 2019-08-02)
testvol.mat (6958, 2019-08-02)

# skeleton3D-matlab: Parallel medial axis thinning of a 3D binary volume This code calculates the 3D medial axis skeleton of an arbitrary 3d binary volume. It is an optimized MATLAB implementation of the homotopic thinning algorithm described in [1]. We developed it to quantify the network of cell processes in bone [2], but it should work on images of any tubular or filamentous structures. An example volume (testvol.mat) is included, along with an example script (Test_Skeleton3D.m). Any comments, corrections or suggestions are highly welcome. ## Usage: `skel = Skeleton3D(bin)` where "bin" is a 3D binary image, and "skel" the resulting image containing only the skeleton voxels, or `skel = Skeleton3D(bin,mask)` to mask all foreground voxels in 'mask' from skeletonization, e.g. to preserve certain structures in a image volume. For additional cleanup, e.g. pruning of short branches, please use my Skel2Graph3D package on MATLAB File Exchange. This code is inspired by the ITK implementation by Hanno Homann [3] and the Fiji/ImageJ plugin by Ignacio Arganda-Carreras [4]. If you include this in your own work, please cite our publicaton [2]. Philip Kollmannsberger 09/2013 philipk@gmx.net References: [1] Ta-Chih Lee, Rangasami L. Kashyap and Chong-Nam Chu "Building skeleton models via 3-D medial surface/axis thinning algorithms." Computer Vision, Graphics, and Image Processing, 56(6):462“478, 1994. [2] Kollmannsberger, Kerschnitzki et al., "The small world of osteocytes: connectomics of the lacuno-canalicular network in bone." New Journal of Physics 19:073019, 2017. [3] http://hdl.handle.net/1926/1292 [4] http://fiji.sc/wiki/index.php/Skeletonize3D

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：